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Help needed

I really need help!

Could someone please rephrase the text below the graph into a short, coherent paragraph?



Table 3

Coefficients







Model
Standardized Coefficients
t
p


Collinearity Statistics




Tolerance
VIF

1

(Constant)



4.52
<.01





State Mindfulness


.10
1.07
.01
.99
1.01



Trait Mindfulness


-.27
-2.87
.01
.99
1.00

Dependent variable: Conspiracy Belief






(beta = -.27, p = .01)

(beta = .10, p = .29)

Tolerance >.20

VIF < 10

We don’t have multi collinearity predictors are not too strongly related (good for regression)

Trait mindfulness is the only significant predictor of conspiracy beliefs whilst controlling for state mindfulness (beta = -.27, p = .01).

Multi-linear regression results (from the co-effienct tables) for every unit in trait mindfulness there is a unit decrease in CB. State not significant put in BETA values
Original post by Studentx337
I really need help!

Could someone please rephrase the text below the graph into a short, coherent paragraph?



Table 3

Coefficients







Model

Standardized Coefficients


t


p




Collinearity Statistics







Tolerance

VIF


1

(Constant)



4.52
<.01





State Mindfulness


.10
1.07
.01
.99
1.01



Trait Mindfulness


-.27
-2.87
.01
.99
1.00

Dependent variable: Conspiracy Belief






(beta = -.27, p = .01)

(beta = .10, p = .29)

Tolerance >.20

VIF < 10

We don’t have multi collinearity predictors are not too strongly related (good for regression)

Trait mindfulness is the only significant predictor of conspiracy beliefs whilst controlling for state mindfulness (beta = -.27, p = .01).

Multi-linear regression results (from the co-effienct tables) for every unit in trait mindfulness there is a unit decrease in CB. State not significant put in BETA values


do you want the number of words to be reduced or what?

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